This work explores industry perspectives on:
Machine Learning and IC Design
Demand for Data
Structure of a Data Model
A Unified Data Model: Digital and Analog examples
Definition and Characteristics of Derived Data for ML Applications
Need for IP Protection
Unique Requirements for Inferencing Models
Key Analysis Domains
Conclusions and Proposed Future Work
Abstra... » read more
David Fritz, who heads corporate strategic alliances at Mentor, a Siemens Business, talks about how to speed up inferencing by taking the input from sensors and quickly classifying the output, but also doing that with low power.
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China restricts U.S. processors; Samsung's CXL, DRAM module and roadmap; ASML's $2.7B retention bonus; U.S., Mexico partner up; Keysight's $1.5B offer to Spirent; Lam's new pulsed laser deposition; new OSAT center.
IC sales up; Taiwan's quake; Japan's big bets; Intel Foundry loss; edgeAI startup funding; smartphone market's recovery; robots; data center security; NoCs in 3D.
Data and protocol interoperability standards are needed for EDA tools, and there are more hurdles ahead. Customized chiplets will be required for AI applications.
The promise of photonics ICs is spurring innovation, but complex processes and a lack of open foundries are keeping it from reaching its full potential.
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